Backed by Accel, Bessemer and NEA.
About the role
Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products
What they're looking for
- Required
- Proven experience with large-scale LLMs and Deep Learning systems
- Strong programming skills in Python/PyTorch, versatility is a plus
- Experience with post-training techniques and reinforcement learning
- Self-starter with a willingness to take ownership of tasks
- Passion for tackling challenging problems
More about this role
Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly.
Depending on your interests and expertise, you'll work on one of three specialized teams:
Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization.
Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences.
Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases.
Research & Development
Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques...
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